Design, build, test and refine multiple large biomarker databases in collaboration with multiple ICR teams; Work with biological data analysts to access and improve large databases of health and disease biomarkers for use in predictive analytics and predictive modeling; Conduct complex bioinformatics analyses on large genomic, transcriptomic and epigenetic data from biofluids and cell lines as well as large protein, cfDNA, miRNA and epigenetic datasets; Design and build streamlined pipelines and algorithms for database querying and multiple other applications to support complex dataset analyses
Requirements:
An advanced degree in Bioinformatics or Computer Sciences with a focus on database architecture, access and querying; Extensive database architecture experience (e.g. SQL, MySQL, etc); Extensive programming experience and intimate knowledge of programming languages for statistical analysis; Experience mining, analyzing and exploring genomic, epigenetic, transcriptomic (RNAseq), proteomic, metabolomic, and other -omic datasets
Text:
Scientist, Bioinformatics Design, build, test and refine multiple large biomarker databases in collaboration with multiple ICR teams; Work with biological data analysts to access and improve large databases of health and disease biomarkers for use in predictive analytics and predictive modeling; Conduct complex bioinformatics analyses on large genomic, transcriptomic and epigenetic data from biofluids and cell lines as well as large protein, cfDNA, miRNA and epigenetic datasets; Design and build streamlined pipelines and algorithms for database querying and multiple other applications to support complex dataset analyses An advanced degree in Bioinformatics or Computer Sciences with a focus on database architecture, access and querying; Extensive database architecture experience (e.g. SQL, MySQL, etc); Extensive programming experience and intimate knowledge of programming languages for statistical analysis; Experience mining, analyzing and exploring genomic, epigenetic, transcriptomic (RNAseq), proteomic, metabolomic, and other -omic datasets
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